Dr. Steven Chase

Professor

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Biography

Steven Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work provides an understanding of how movement information is represented in networks of neurons in the brain and informs the development of neural prosthetics. Chase is jointly appointed in the Biomedical Engineering Center and the Neural Basis of Cognition, and holds courtesy appointments in the Electrical and Computer Engineering and Robotics Institute. He is a recipient of the National Science Foundation’s CAREER Award, Dean’s Early Career Fellowship, and is a Wimmer Faculty Fellow for 2013-14. His research has been supported by NIH, NSF, DARPA, IARPA, the Craig H. Neilsen Foundation, the Shurl Kay Curci Foundation, and the Pennsylvania Department of Health. The research in his lab focuses on developing novel computational and experimental techniques to investigate the neural basis of motor control and motor learning, utilizing brain-computer interfaces (BCI) that enable direct interaction with devices using recorded neural activity. Current investigations include the neural basis of skill acquisition, motor learning transfer, and subcortical contributions to learning. Ultimately, this basic understanding aims to inform the fundamental limits of motor control processes and facilitate the development of new neural prosthetic devices, with an emphasis on designing new BCI decoding algorithms to enhance performance and expedite clinical translation.

Research Interests

Awards

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NSF CAREER Award

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CIT Dean's Early Career Fellow

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.